An Analysis of Variance Approach to Content Validation
Author(s) -
Timothy R. Hinkin,
J. Bruce Tracey
Publication year - 1999
Publication title -
organizational research methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.901
H-Index - 111
eISSN - 1552-7425
pISSN - 1094-4281
DOI - 10.1177/109442819922004
Subject(s) - optimal distinctiveness theory , content validity , variance (accounting) , psychology , content analysis , statistics , content (measure theory) , item analysis , computer science , social psychology , psychometrics , mathematics , social science , mathematical analysis , accounting , sociology , business
Although procedures for assessing content validity have been widely publicized for many years, Hinkin noted that there continue to be problems with the content validity of measures used in organizational research. Anderson and Gerbing, and Schriesheim, Powers, Scandura, Gardiner, and Lankau discussed the problems associated with typical content validity assessment and presented techniques that can be used to assess the empirical distinctiveness of a set of survey items. This article reviews these techniques and presents an analysis of variance procedure that can provide a higher degree of confidence in determining item integrity and scale content validity. The utility of this technique is demonstrated by using two samples and two different measures.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom